multabench/core-text-cls-spotify-genres

MUL_TEXT_SPOTIFY_GENRES

Part of MulTaBench, a benchmark for multimodal tabular learning.

Paper: MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image · Leaderboard: multabench/leaderboard

• Target: track_genre
• Rows: 114000
• Original source: https://www.kaggle.com/datasets/maharshipandya/-spotify-tracks-dataset

Load the benchmark splits with multabench.load_split("MUL_TEXT_SPOTIFY_GENRES", fold=0).

Column	Type
artists	string
album_name	string
track_name	string
popularity	int
duration_ms	int
explicit	bool
danceability	float
energy	float
key	int
loudness	float
mode	int
speechiness	float
acousticness	float
instrumentalness	float
liveness	float
valence	float
tempo	float
time_signature	int
track_genre	string

Citation

@misc{arazi2026multabenchbenchmarkingmultimodaltabular,
  title={MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image},
  author={Alan Arazi and Eilam Shapira and Shoham Grunblat and Mor Ventura and Elad Hoffer and Gioia Blayer and David Holzmüller and Lennart Purucker and Gaël Varoquaux and Frank Hutter and Roi Reichart},
  year={2026},
  eprint={2605.10616},
  archivePrefix={arXiv},
  primaryClass={cs.LG},
  url={https://arxiv.org/abs/2605.10616},
}